M.Tech graduate in Electronics and Communication Engineering, specializing in Robotics and Intelligent Systems, with a strong passion for embedded systems, hardware design, and robotics. Eager to apply a solid foundation in embedded development, real-time control, and electronics integration to contribute to innovation-driven projects and product enhancement in industrial and automotive environments.
Embedded System & Firmware
AI & Machine Learning
Soft Skill
Computer Vision Robot Using ROS2,2023
Developed an intelligent robot with computer vision capabilities using Raspberry Pi and ROS2.
Line Follower Robot Using PIC Microcontroller, 2023
Designed and programmed a line follower robot using low-level interfacing.
Obstacle Avoidance Robot Using Ultrasonic Sensor, 2023
Implemented an autonomous obstacle avoidance system using ultrasonic sensors.
Interfacing RTC Module (DS3231) with PIC Microcontroller: Digital Clock, 2023
Built a digital clock with accurate timekeeping using RTC DS3231.
Traffic Sign Recognition using Convolutional Neural Networks (CNN), 2023
Developed a traffic sign recognition system using Convolutional Neural Networks (CNN) for accurate image classification.
Handwritten Digit Recognition using CNN (MNIST)
Implemented a CNN model to classify handwritten digits with 98% accuracy using the MNIST dataset.
ROS2 Artificial Intelligence Robot using Raspberry Pi, Udemy
Advances in Robotics: Mobile Robotics & ROS, CUSAT
Software Defined Radio, CUSAT,